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Methodology
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Deep Learning
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Self-Supervised Learning
2959 directly classified papers
Papers per year
2006: 3
2007: 1
2008: 2
2009: 3
2010: 1
2011: 3
2012: 5
2013: 5
2014: 8
2015: 9
2016: 15
2017: 23
2018: 59
2019: 146
2020: 289
2021: 389
2022: 485
2023: 547
2024: 445
2025: 502
2026: 19
Papers
LCollision: Fast Generation of Collision-Free Human Poses using Learned Non-Penetration Constraints
AAAI 2021
Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning
AAAI 2021
Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond
AAAI 2021
LRSC: Learning Representations for Subspace Clustering
AAAI 2021
Self-supervised Pre-training and Contrastive Representation Learning for Multiple-choice Video QA
AAAI 2021
Can contrastive learning avoid shortcut solutions?
NIPS 2021
NICT Kyoto Submission for the WMT’21 Quality Estimation Task: Multimetric Multilingual Pretraining for Critical Error Detection
EMNLP 2021
Translation Transformers Rediscover Inherent Data Domains
EMNLP 2021
The University of Edinburgh’s English-German and English-Hausa Submissions to the WMT21 News Translation Task
EMNLP 2021
On the Role of Corpus Ordering in Language Modeling
EMNLP 2021
Capturing Speaker Incorrectness: Speaker-Focused Post-Correction for Abstractive Dialogue Summarization
EMNLP 2021
Automatic Fact-Checking with Document-level Annotations using BERT and Multiple Instance Learning
EMNLP 2021
Coreference by Appearance: Visually Grounded Event Coreference Resolution
EMNLP 2021
DramaCoref: A Hybrid Coreference Resolution System for German Theater Plays
EMNLP 2021
Capturing document context inside sentence-level neural machine translation models with self-training
EMNLP 2021
Re-entry Prediction for Online Conversations via Self-Supervised Learning
EMNLP 2021
SciXGen: A Scientific Paper Dataset for Context-Aware Text Generation
EMNLP 2021
Self-supervised Contrastive Cross-Modality Representation Learning for Spoken Question Answering
EMNLP 2021
PAUSE: Positive and Annealed Unlabeled Sentence Embedding
EMNLP 2021
Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation
EMNLP 2021
Universal Sentence Representation Learning with Conditional Masked Language Model
EMNLP 2021
A Graph-Based Neural Model for End-to-End Frame Semantic Parsing
EMNLP 2021
Disentangling Representations of Text by Masking Transformers
EMNLP 2021
Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting
EMNLP 2021
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization
EMNLP 2021
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